A simple, human-friendly wrapper over Azure AI Vision and Language services.
Project description
azure-ai-helper
A simple, human-friendly wrapper over Azure AI Vision and Language services.
- Clean API: one-line calls like
ai.vision.analyze(path_or_url)andai.language.summarize(text). - Human-readable outputs instead of raw JSON.
- Friendly errors with quick hints.
Install
Choose extras for services you need:
pip install "azure-ai-helper[vision,language]"
Or base package only (no SDKs):
pip install azure-ai-helper
Quick Start
from azure_ai_helper import AzureAI
# IMPORTANT: Use your own Vision & Language endpoint/key
# Do NOT reuse credentials from other Azure services
ai = AzureAI(endpoint="https://<your-endpoint>", key="<your-key>")
print(ai.vision.analyze("my_image.jpg")) # local file
print(ai.vision.analyze("https://example.com/photo.jpg")) # URL
print(ai.language.summarize("Long text..."))
print(ai.language.sentiment("I love this!"))
Credentials
- You must provide your own Azure Cognitive Services endpoint and key.
- This library never ships with embedded credentials and will not read any demo defaults. You control the endpoint/key.
- Use resource keys for the specific services included here (Vision and Text Analytics). Do not use keys from unrelated services.
Errors
- All errors raise
AzureAIErrorwith a helpful hint. Common cases:- Missing SDK -> install the corresponding extra.
- Invalid image URL -> provide a direct
.jpg/.pngor local path. - Summarization unsupported -> we fallback to key phrases; consider enabling the feature in your Azure resource.
Testing
Install dev tools and run tests:
pip install pytest
pytest -q
Roadmap
- Speech service placeholders are present and will be implemented in a future release.
License
Select a license (e.g., MIT) and update this section.
Project details
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